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  • The cerebrovascular diseases are one the most common cause of death worldwide. The second most frequent cause of death in the Czech Republic. The proposed database should notably contribute to the solution of this complex problem. Its profit is based on medical data interconnection and aggregation of collaborating centers. There are stored miscellaneous de-indentified medical data in the database such as (1) a set of patient's clinical data in a DASTA file format, (2) a set of brain scans like computed tomography in a DICOM files, (3) data from Safe Implementation of Thrombolysis in Stroke (SITS) register. The experimental database project has an extensible support for any other fitted data format.
  • The cerebrovascular diseases are one the most common cause of death worldwide. The second most frequent cause of death in the Czech Republic. The proposed database should notably contribute to the solution of this complex problem. Its profit is based on medical data interconnection and aggregation of collaborating centers. There are stored miscellaneous de-indentified medical data in the database such as (1) a set of patient's clinical data in a DASTA file format, (2) a set of brain scans like computed tomography in a DICOM files, (3) data from Safe Implementation of Thrombolysis in Stroke (SITS) register. The experimental database project has an extensible support for any other fitted data format. (en)
Title
  • Experimental database implementation for the cerebrovascular diseases research integrates together different kinds of medical data
  • Experimental database implementation for the cerebrovascular diseases research integrates together different kinds of medical data (en)
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  • Experimental database implementation for the cerebrovascular diseases research integrates together different kinds of medical data
  • Experimental database implementation for the cerebrovascular diseases research integrates together different kinds of medical data (en)
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  • RIV/00216208:11140/10:10129601!RIV13-MSM-11140___
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  • 258267
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  • RIV/00216208:11140/10:10129601
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  • Thrombolysis; Stroke; Resource description framework; Medical data; DICOM; Database; DASTA; Clinical data; Cerebrovascular disease (en)
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  • [D34C6710BC8F]
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  • Athens
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  • Athens
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  • Proceedings of the Multi-Conference on Innovative Developments in ICT
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  • Klečková, Jana
  • Rohan, Vladimír
  • Včelák, Petr
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • Neuveden
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  • 9789898425157
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  • 11140
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